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RUNX2 promotes pulmonary fibrosis through the conversion of alveolar fibroblasts into pathological fibroblasts

GSE278419 Mus musculus (mouse) ChIP-seq / ATAC-seq (genome binding and open chromatin) 2 samples Submitted 2024/11/25 Platform GPL24247
At a glance

ChIP-seq / ATAC-seq (genome binding and open chromatin) · mouse · 2 samples

What it is
ChIP-seq / ATAC-seq (genome binding and open chromatin)Where proteins bind the genome, or which regions are open and active.
Organism
Mus musculus (mouse)
Samples
2 samples
Data you can get
A processed table (series matrix) and supplementary files from NCBI; the raw sequencing reads from ENA. Which of these hold counts depends on the study, so check the file list.
Summary (written by the submitters)
A hallmark of pulmonary fibrosis is aberrant activation of lung fibroblasts into pathological fibroblasts producing excessive extracellular matrix (ECM). Thus, identification of key regulator(s) driving the generation of pathological fibroblasts can inform effective countermeasures against disease progression.
Read the full summary ↓
In this study, we show that Leptin Receptor (Lepr)+ fibroblasts arising during alveologenesis include Signal Peptide-CUB-EGF Domain-containing Protein 2 (Scube2)+ alveolar fibroblasts as a major constituent significantly contributing to collagen triple helix repeat containing 1 (Cthrc1)+ Periostin (Postn)+ pathological fibroblasts in two mouse models of pulmonary fibrosis. Genetic ablation of the Postn+ pathological fibroblasts attenuates fibrosis. Comprehensive analysis of single cell RNA sequencing (scRNA-seq) and single cell Assay for Transposase-Accessible Chromatin sequencing (scATAC-seq) reveal Runt related transcription factor 2 (RUNX2) as a key regulator of fibrotic genes. Consistently, conditional deletion of Runx2 with Lepr-CreERT2 or Scube2-CreERT2 reduces the generation of pathological fibroblasts, ECM deposition, and pulmonary fibrosis. Therefore, Lepr+ derived fibroblasts which include Scube2+ alveolar fibroblasts are a key source of pathological fibroblasts, and targeting Runx2 provides a potential treatment option for pulmonary fibrosis.
This dataset
Download · which file do I need?

Direct links to NCBI and ENA, no account and no request form. Pick by what you want to do: take the small processed table to look, the supplementary files to re-analyse, or the original raw data to start over.

1 · Just have a look

Processed table

The series matrix: one table of values per sample as the submitters processed it. The smallest download, and it opens in Excel or R. Start here to see what the data look like.

2 · Re-analyse it

Supplementary files

The count tables and other files the authors uploaded. Take only the samples you need, or the whole study as GSE278419_RAW.tar (it can run to tens of gigabytes).

3 · Start from the raw reads

Raw sequencing reads

The original FASTQ files, straight from the sequencer, held at ENA. Large, and you align them yourself, so only choose this if you need to re-process the study from scratch.

What the files usually look like: Look for peak files (.bed, .narrowPeak) and signal tracks (.bigWig) among the supplementary files; the raw reads are on ENA.

Also filed as BioProject PRJNA1167229 and SRA study SRP535730. Searching any of these in the dataset finder brings you back here.

Samples in this study

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